Statistics – Computation
Scientific paper
Oct 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.7109e..16s&link_type=abstract
Image and Signal Processing for Remote Sensing XIV. Edited by Bruzzone, Lorenzo; Notarnicola, Claudia; Posa, Francesco. Proceed
Statistics
Computation
Scientific paper
In our laboratory, an 8 kg nano-scale remote sensing satellite "PRISM" has been developed, which has an extensible boom with a telephoto lens on the tip, being a refracting telescope in the orbit. Imaging using such flexible optical systems bears the problem of structural deformation which results in low quality of the captured images. To compensate for it, the satellite has to have a focusing function in limited techniques. This paper proposes a practical way of auto focusing for such nano-scale remote sensing satellites using fuzzy image processing. The proposed method is independent of photographed objects and does not require tracking of the contrast evaluation areas to be used for conventional auto focusing algorithm, which reduces the on-board computational load and requirement of attitude determination and control very much.
Nakasuka Shin"ichi
Sato Yuuki
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